Epistasis

Methods and Protocols

  • Jason H. Moore
  • Scott M. Williams
Part of the Methods in Molecular Biology book series (MIMB, volume 1253)

Table of contents

  1. Front Matter
    Pages i-x
  2. Trudy F. C. Mackay
    Pages 47-70
  3. José M. Álvarez-Castro, Arnaud Le Rouzic
    Pages 95-114
  4. Thomas F. Hansen
    Pages 115-143
  5. Rong-Cai Yang
    Pages 159-183
  6. Etsuji Suzuki, Tyler J. VanderWeele
    Pages 197-216
  7. Carlos Riveros, Renato Vimieiro, Elizabeth G. Holliday, Christopher Oldmeadow, Jie Jin Wang, Paul Mitchell et al.
    Pages 217-255
  8. Jason H. Moore, Ting Hu
    Pages 257-268
  9. Caleb A. Lareau, Brett A. McKinney
    Pages 285-300
  10. Jason H. Moore, Peter C. Andrews
    Pages 301-314
  11. Jason H. Moore
    Pages 315-325
  12. Jason H. Moore, Doug P. Hill
    Pages 327-346
  13. Back Matter
    Pages 347-350

About this book

Introduction

This volume presents a valuable and readily reproducible collection of established and emerging techniques on modern genetic analyses. Chapters focus on statistical or data mining analyses, genetic architecture, the burden of multiple testing, genetic variance, measuring epistasis, multifactor dimensionality reduction, and ReliefF. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.

 

Authoritative and practical, Epistasis: Methods and Protocols aids scientists in continuing to study elucidate epistasis in the context of modern data availability.

Keywords

Modern genetic analyses allelic average excess de novo mutations decomposition of genetic variance epistasis genetic variance genome wide data sets genotype to phenotype maps quantitative trait locus mapping trait’s genetic architecture

Editors and affiliations

  • Jason H. Moore
    • 1
  • Scott M. Williams
    • 2
  1. 1.Department of GeneticsInstitute of Quantitative Biomedical Sciences, Geisel School of MedicineHanoverUSA
  2. 2.Department of GeneticsInstitute of Quantitative Biomedical Sciences, Geisel School of MedicineHanoverUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-2155-3
  • Copyright Information Springer Science+Business Media New York 2015
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-2154-6
  • Online ISBN 978-1-4939-2155-3
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • About this book